Description
Book SynopsisIncluding contributions from leading experts in the field, this book covers applications and developments of heuristic search methods for solving complex optimization problems. The book covers various local search strategies including genetic algorithms, simulated annealing, tabu search and hybrids thereof.
Table of ContentsPartial table of contents:
Modern Heuristic Techniques.
TECHNIQUES.
Localized Simulated Annealing in Constraint Satisfaction andOptimization.
Observing Logical Interdependencies in Tabu Search: Methods andResults.
Reactive Search: Toward Self-Tuning Heuristics.
Integrating Local Search into Genetic Algorithms.
CASE STUDIES.
Local Search for Steiner Trees in Graphs.
Local Search Strategies for the Vehicle Fleet Mix Problem.
A Tabu Search Algorithm for Some Discrete-Continuous SchedulingProblems.
The Analysis of Waste Flow Data from Multi-Unit IndustrialComplexes Using Genetic Algorithms.
The Evolution of Solid Object Designs Using GeneticAlgorithms.
The Convoy Movement Problem with Initial Delays.
A Brief Comparison of Some Evolutionary Optimization Methods.
Index.
